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The British Journal of Radiology|March 6, 2026
Automatic Hepatic Steatosis Quantification using Low-Dose CT with deep learning-based noise reduction and CT Fat Fraction Analysis SoftwareSung Joon Youn, Sun Kyung Jeon, Jeong Hee Yoon, et al.
European Radiology|May 24, 2018
Can quantitative iodine parameters on DECT replace perfusion CT parameters in colorectal cancers?Hyo-Jin Kang, Se Hyung Kim, Jae Seok Bae, et al.
Clinical and Molecular Hepatology|October 12, 2023
Prognostic role of computed tomography analysis using deep learning algorithm in patients with chronic hepatitis B viral infectionJeongin Yoo, Heejin Cho, Dong Ho Lee, et al.
Abdominal Radiology (New York)|September 19, 2024
Automated abdominal organ segmentation algorithms for non-enhanced CT for volumetry and 3D radiomics analysisJunghoan Park, Ijin Joo, Sun Kyung Jeon, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|July 2, 2025
Value of threshold growth for the diagnosis of hepatocellular carcinoma using LI-RADSJae Seok Bae, Jeong Min Lee, Jeong Hee Yoon, et al.
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